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Tag: #NTTDATA

  • NTT DATA Launches Multivendor AI Agents to Revolutionize Enterprise IT Operations

    NTT DATA Launches Multivendor AI Agents to Revolutionize Enterprise IT Operations

    NTT DATA, a global leader in AI, digital business, and technology services, today announced a revolutionary milestone in enterprise IT operations with the launch of its Software Defined Infrastructure (SDI) Services Agent. This pioneering, conversational multi-agent system completely redefines how enterprises operate, optimize, and govern complex infrastructure. By embedding advanced autonomous AI directly into its core services, the platform shifts IT operations from reactive troubleshooting to proactive, intelligent orchestrations.

    The SDI Services Agent operates as a digital twin for critical IT operational roles, introducing a radical departure from traditional, fragmented management dashboards. For the first time, infrastructure leaders can interact with their entire IT environment using simple, natural language prompts. Serving as a central commander, the system coordinates specialized background agents that continuously sense, reason, and act across networking, hybrid data centers, cybersecurity, and digital workplace environments to deliver unprecedented operational velocity.

    The true disruption lies in the platform’s multivendor capabilities. While standard Original Equipment Manufacturer (OEM) AI assistants are restricted to their own single-vendor ecosystems, NTT DATA’s multi-agent system seamlessly bridges diverse, multi-provider environments. It safely evaluates live telemetry, historical context, and enterprise policy guardrails to execute deterministic actions. This provides IT teams with explainable AI decisions and real-time visibility, significantly driving down operational costs while maximizing system resilience.

    “Traditional infrastructure services are increasingly out of step with the demands of an AI-driven enterprise,” said Chris Barnard, Vice President at IDC. “NTT DATA is differentiating itself through an innovative-first multivendor agentic service experience. Its AI-first approach enables infrastructure leaders to break out of traditional maintenance models and focus on outcomes at scale.”

    This operational revolution mirrors a broader corporate shift documented in NTT DATA’s Global AI Report: A Playbook for AI Leaders. The study revealed that 34.5% of forward-thinking AI leaders are bypassing superficial, surface-level add-ons to invest heavily in rebuilding core applications with embedded AI capabilities. Dilip Kumar, Global Head of Infrastructure Solutions at NTT DATA, Inc., noted that this conversational agentic experience turns infrastructure into a strategic differentiator, allowing businesses to move past baseline “lights on” operations to drive measurable business outcomes.

    Further expanding its operational impact, the SDI Services Agent integrates built-in sustainability insights directly into its reasoning engine. This allows IT teams to monitor, analyze, and actively minimize the energy and environmental footprint of their massive infrastructure estates alongside standard performance metrics. The SDI Services Agent is now available globally, offered as a fully integrated capability within NTT DATA’s premier Software Defined Infrastructure Services portfolio.

  • Rising AI Resource Consumption Unsustainable; NTT DATA Report Urges Action and Proposes Solutions

    A recent white paper from NTT DATA, a global leader in AI and digital technology services, emphasizes the urgent need to integrate sustainability into AI development and deployment to mitigate the growing environmental impact of the technology. Titled Sustainable AI for a Greener Tomorrow, the paper highlights how the increasing computational demands of AI—particularly in training large language models, running inference pipelines, and maintaining always-on services—are driving substantial energy consumption, water usage for data center cooling, e-waste generation, and rare earth mineral extraction for hardware. Experts predict that AI workloads could account for over 50% of global data center power usage by 2028. NTT DATA stresses that while these environmental consequences are significant, AI also offers opportunities to address them, such as optimizing energy grids, reducing emissions, modeling environmental risks, and enhancing water conservation.

    The paper outlines key strategies for sustainable AI, urging organizations to prioritize efficiency alongside traditional performance metrics like speed and accuracy. It calls for measurable environmental impact metrics, including energy consumption, carbon emissions, and water footprint, and advocates for lifecycle-centric approaches that consider hardware production, deployment, maintenance, and disposal. Best practices recommended include using green software engineering, aligning AI workloads with renewable energy availability, leveraging modular and upgradable components to extend hardware lifespan, and employing responsible recycling and refurbishment methods. The report also underscores the importance of shared accountability, requiring collaboration among hardware manufacturers, data center operators, cloud providers, software developers, policymakers, investors, and consumers.

    NTT DATA’s white paper warns that fragmented assessments and inconsistent metrics remain a barrier to meaningful progress, with many organizations focusing narrowly on energy or emissions without accounting for other critical factors. By implementing a comprehensive, end-to-end redesign of AI systems, organizations can reduce resource consumption while harnessing AI’s transformative potential. The report ultimately positions sustainable AI not just as a corporate responsibility, but as a strategic opportunity to create lasting value, strengthen organizational capabilities, and safeguard environmental resources for the future. The full white paper, along with insights on sustainability services, is available on NTT DATA’s website.